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Stochastic co-teaching for training neural networks with unknown levels of label noise
Label noise hampers supervised training of neural networks. However, data without label noise is often infeasible to attain, especially for medical tasks. Attaining high-quality medical labels would require a pool of experts and their consensus reading, which would be extremely costly. Several metho...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10558560/ https://www.ncbi.nlm.nih.gov/pubmed/37803027 http://dx.doi.org/10.1038/s41598-023-43864-7 |